# philter-mcp

> philter-mcp — philterd-philter-mcp. Use this tool when you need to protect sensitive information by redacting personally identifiable information (PII) and protected health information (PHI) from AI agents. It solves data privacy and security problems by filtering out confidential data over the Model Context Protocol. This tool is ideal for use cases where data protection and compliance are crucial, accepting input data and returning redacted output to ensure secure information exchange.

Canonical page: https://skillsregistry.net/skills/philterd-philter-mcp  
JSON: https://api.skillsregistry.net/v1/skills/philterd-philter-mcp

## Description

Redact PII and PHI from your AI agents with Philter, over the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/philterd/philter-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "philterd-philter-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/philterd-philter-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/philterd-philter-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt